A genetic programming learning approach to generate dispatching rules for flexible shop scheduling problems
Roland Braune, Frank Benda, Karl F. Doerner, Richard F. Hartl
| Year of publication: |
2022
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|---|---|
| Authors: | Braune, Roland ; Benda, Frank ; Dörner, Karl Franz ; Hartl, Richard F. |
| Published in: |
International journal of production economics. - Amsterdam [u.a.] : Elsevier, ISSN 0925-5273, ZDB-ID 1092526-0. - Vol. 243.2022, p. 1-13
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| Subject: | Flexible shop scheduling | Genetic programming | Iterative dispatching rule | Machine learning | Multi-tree representation | Scheduling-Verfahren | Scheduling problem | Theorie | Theory | Evolutionärer Algorithmus | Evolutionary algorithm | Künstliche Intelligenz | Artificial intelligence | Mathematische Optimierung | Mathematical programming | Innerbetrieblicher Transport | Internal transport | Lernprozess | Learning process |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.ijpe.2021.108342 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013197618